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Automation
Command

/connect-signals

Sets up data connections, schemas, and monitoring for intent, product, and engagement feeds.

From plugin
gtm-agents
368199 skills200 agents199 commands
Install
$ npx -y skills add gtmagents/gtm-agents --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/connect-signals

Context preview

What this command does when you run it.

Sets up data connections, schemas, and monitoring for intent, product, and engagement feeds.

Command definition

connect-signals.md
name: connect-signals
description: Sets up data connections, schemas, and monitoring for intent, product, and engagement feeds.
usage: /intent-signal-orchestration:connect-signals --sources "bombora,g2,product" --accounts enterprise --topics "security,automation"

Command: connect-signals

Inputs

  • **sources** – comma-separated list of feeds (bombora, 6sense, g2, product, web, community).
  • **accounts** – optional filter (enterprise, midmarket, smb) or named account list file.
  • **topics** – optional topics to whitelist for ingestion.
  • **window** – lookback period (e.g., 30d) for initial sync.
  • **warehouse** – destination schema or dataset identifier.

GTM Agents Pattern & Plan Checklist

> Mirrors GTM Agents orchestrator blueprint @puerto/plugins/orchestrator/README.md#112-325.

  • **Pattern selection**: Signal connection typically runs **pipeline** (inventory → schema → pipelines → quality → activation). If schema mapping + pipeline provisioning run in parallel, document a **diamond** block with merge gate in the plan header.
  • **Plan schema**: Save `.claude/plans/plan-<timestamp>.json` capturing source inventory, auth, task IDs, dependency graph (data eng, security, RevOps), error handling, and success metrics (freshness, coverage %, SLA compliance).
  • **Tool hooks**: Reference `docs/gtm-essentials.md` stack—Serena for schema diffs, Context7 for API docs + vendor SLAs, Sequential Thinking for rollout reviews, Playwright for any UI-based connector QA.
  • **Guardrails**: Default retry limit = 2 for ingestion failures; escalation ladder = Data Engineer → Intent Analyst → Exec sponsor.
  • **Review**: Run `docs/usage-guide.md#orchestration-best-practices-puerto-parity` before handoff to confirm dependencies + approvals logged.

Workflow

1. **Inventory & Access** – validate API keys, service accounts, and throttling limits per source. 2. **Schema Alignment** – map identifiers, normalize fields, and define topic taxonomy. 3. **Pipelines & Storage** – configure ingestion jobs, dedupe logic, and retention policies in the warehouse. 4. **Data Quality Gates** – set freshness monitors, anomaly detection, and alert routing. 5. **Activation Hooks** – expose curated tables/feeds to `prioritize-accounts` and downstream automations.

Outputs

  • Connection manifest with sources, credentials owners, refresh cadence, and SLAs.
  • Warehouse schema doc plus sample queries for RevOps/data teams.
  • Monitoring dashboard setup instructions + webhook alerts.
  • Plan JSON entry stored/updated in `.claude/plans` for audit trail.

Agent/Skill Invocations

  • `intent-analyst` – ensures topics + scoring fields align with GTM objectives.
  • `automation-lead` – configures pipelines and alerting.
  • `signal-scoring` skill – validates data completeness for scoring weights.

GTM Agents Safeguards

  • **Fallback agents**: document substitutes (e.g., automation-lead covering analyst) when owners unavailable.
  • **Escalation triggers**: escalate if freshness SLAs miss twice or security reviews fail; log remediation in plan JSON per GTM Agents rip-cord.
  • **Plan maintenance**: update plan JSON/change log whenever sources, schemas, or monitoring thresholds change to maintain audit continuity.

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